Classifications of Intentions for Controlling of a Multifunctional Knee-Ankle-Foot Orthosis
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This paper describes motion intention classifiers which utilize reaction forces signals from heel and toe; and hip velocity information to predict subject’s intention. Those classifiers using Bayes method to predict (i) walk-to-stop, (ii) walking-speed-changing, and (iii) stop-to-motions. They are very accurate (most of them have accuracy rate higher than 90%) and a significant step in order to develop a multifunctional knee-ankle-foot orthosis.
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2015 ◽
Vol 40
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pp. 454-459
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2013 ◽
Vol 37
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pp. 411-414
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2013 ◽
Vol 2013
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pp. _2A1-C05_1-_2A1-C05_3
2007 ◽
Vol 31
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pp. 76-87
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2011 ◽
Vol 35
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pp. 350-359
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2003 ◽
Vol 125
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pp. 913-917
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